Operationalizing deployment with streaming integration data pipelines and streaming application solutions nimbly is a key component of the adoption of streaming use cases. Waiting for senior technical resources to deploy every data pipeline, make every maintenance adjustment, or provide access to key datasets flies in the face of making streaming initiatives a core component of their operational strategy. Organizations need the ability to spread the load of configuration, maintenance, and access to a wider group of stakeholders within the organization to get the type of value required from their business events.

Administrators and app developers can deploy preliminary proof of value initiatives. These initial evaluations and validations can move slowly, and as more parts of the organization find value in these deployments and hope to leverage them for their own datasets and use cases, expensive and scarce technical resources are a poor way to scale to meet the demands of a data-driven business. The enterprise-grade GUI capabilities and the ease of use to configure, deploy, and maintain streaming pipelines and applications will be key attributes in helping organizations spread their streaming applications as part of their data-driven initiatives.

With the ease of use and lowered dependency on administrators and app developers, organizations can bring their senior business analysts and operations team members into the role of “owning” streaming application deployments. These members of the organization are ready and able to contribute to these streaming initiatives. With their participation, not only can the deployment of streaming data pipelines and applications be distributed, but the process of adopting and maintaining these environments will also gain momentum. Operations team members can gain insights directly on the datasets generated from their assembly line, connected fleet, and supply chain events. Business analysts can utilize the real-time information on business and consumer events to continually develop competitive advantage and new revenue streams.

A singular key to all of these components is the ease of data access. If streaming data is locked into silos where business stakeholders and operations teams have difficulty gaining access, even the best streaming integration initiatives will meet resistance. For better or worse, the data access method of choice for most business stakeholders and their tool of choice is the SQL query language. Streaming facilities need to incorporate this data access method into their capabilities. Being able to utilize SQL-compliant, or near-compliant, data access gives streaming applications the opportunity to spread their information across the broadest cross-section of data consumers.